NAVER LABS Europe's mission is to advance the state-of-the-art in Ambient Intelligence, while paving the way for these innovations into a number of NAVER flagship products and services. This includes research in models and algorithms to give humans faster and better access to data and to allow them to interact with technology in simpler and more natural ways.
To support this ambition and continue developing our activities, we are looking for a research engineer to join the Machine Learning and Optimization group. One of our research interests is to build innovative solutions that help people seamlessly navigate the physical world, taking into account uncertainties inherent to user's behavior and environment.
Excited about research and its applications, the successful candidate will contribute to the development and benchmarking of novel optimization algorithms. She/he will also participate in their deployment in a number of NAVER products and services.
M.Sc. or Ph.D. in computer science or operational research
3+ years of experience in development of complex algorithms
Strong coding skills, preferably in python, C/C++ and rust
Experience in code analysis and optimization for speed/memory consumption
Operational research and optimization algorithms
Knowledge of professional software engineering practices
Working knowledge of Docker and Elastic Search
Curious, good team player and autonomous